FASStR: A framework for ensuring high-quality operational metrics in health care

عنوان FASStR: A framework for ensuring high-quality operational metrics in health care
نویسنده Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.
تاریخ انتشار: 2020-06
محل انتشار - Managed Care & Healthcare Communications, LLC
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه: دانشگاه اوزیغین
شناسه دارایی کتابخانه 1088-0224
شماره ثبت 53e8eb2b-ec46-401f-adb1-556149436379
محل کتابخانه Business Administration
تاریخ 2020-06
یادداشت‌ها College of Business at James Madison University - National Heart, Lung, and Blood Institute
متن نمونه OBJECTIVES: Poorly defined measurement impairs interinstitutional comparison, interpretation of results, and process improvement in health care operations. We sought to develop a unifying framework that could be used by administrators, practitioners, and investigators to help define and document operational performance measures that are comparable and reproducible. STUDY DESIGN: Retrospective analysis. METHODS: Health care operations and clinical investigators used an iterative process consisting of (1) literature review, (2) expert assessment and collaborative design, and (3) end-user feedback. We sampled the literature from the medical, health systems research, and health care operations (business and engineering) disciplines to assemble a representative sample of studies in which outpatient health care performance metrics were used to describe the primary or secondary outcome of the research. RESULTS: We identified 2 primary deficiencies in outpatient performance metric definitions: incompletion and inconsistency. From our review of performance metrics, we propose the FASStR framework for the Focus, Activity, Statistic, Scale type, and Reference dimensions of a performance metric. The FASStR framework is a method by which performance metrics can be developed and examined from a multidimensional perspective to evaluate their comprehensiveness and clarity. The framework was tested and revised in an iterative process with both practitioners and investigators. CONCLUSIONS: The FASStR framework can guide the design, development, and implementation of operational metrics in outpatient health care settings. Further, this framework can assist investigators in the evaluation of the metrics that they are using. Overall, the FASStR framework can result in clearer, more consistent use and evaluation of outpatient performance metrics.
DOI 10.37765/ajmc.2020.43492
Cilt 26
مشاهده در منبع دانشگاه اوزیغین دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی
دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی دانشگاه اوزیغین

FASStR: A framework for ensuring high-quality operational metrics in health care

نویسنده Torabi, E., Çayırlı, Tuğba, Froehle, C. M., Klassen, K. J., Magazine, M., White, D. L., Ward, M. J.
تاریخ انتشار 2020-06
محل انتشار - Managed Care & Healthcare Communications, LLC
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه دانشگاه اوزیغین
شناسه دارایی کتابخانه 1088-0224
شماره ثبت 53e8eb2b-ec46-401f-adb1-556149436379
محل کتابخانه Business Administration
تاریخ 2020-06
یادداشت‌ها College of Business at James Madison University - National Heart, Lung, and Blood Institute
متن نمونه OBJECTIVES: Poorly defined measurement impairs interinstitutional comparison, interpretation of results, and process improvement in health care operations. We sought to develop a unifying framework that could be used by administrators, practitioners, and investigators to help define and document operational performance measures that are comparable and reproducible. STUDY DESIGN: Retrospective analysis. METHODS: Health care operations and clinical investigators used an iterative process consisting of (1) literature review, (2) expert assessment and collaborative design, and (3) end-user feedback. We sampled the literature from the medical, health systems research, and health care operations (business and engineering) disciplines to assemble a representative sample of studies in which outpatient health care performance metrics were used to describe the primary or secondary outcome of the research. RESULTS: We identified 2 primary deficiencies in outpatient performance metric definitions: incompletion and inconsistency. From our review of performance metrics, we propose the FASStR framework for the Focus, Activity, Statistic, Scale type, and Reference dimensions of a performance metric. The FASStR framework is a method by which performance metrics can be developed and examined from a multidimensional perspective to evaluate their comprehensiveness and clarity. The framework was tested and revised in an iterative process with both practitioners and investigators. CONCLUSIONS: The FASStR framework can guide the design, development, and implementation of operational metrics in outpatient health care settings. Further, this framework can assist investigators in the evaluation of the metrics that they are using. Overall, the FASStR framework can result in clearer, more consistent use and evaluation of outpatient performance metrics.
DOI 10.37765/ajmc.2020.43492
Cilt 26
دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی
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